GitHub
rubber-ducking
Logic validation by verbalization. Translate code to plain English to catch semantic errors. Use before running complex logic or when debugging "it should work" failures.
calvyntwh AI Skills
GitHub ↗Explorez les skills IA publiés de calvyntwh et consultez leurs instructions source.
Statistiques de l’auteur
Skills indexés
10Étoiles des dépôts des skills indexés
0Forks du dépôt
0Moyenne des étoiles par skill indexé
0Les étoiles d’un dépôt peuvent se répéter entre ses skills.
Catégories populaires
Indexation récente
Explorer
GitHub
occams-razor
Complexity Pruning and Simplification using the Subtraction Method. Use when refactoring, reducing boilerplate, or challenging over-engineered solutions.
GitHub
systems-thinking
Architectural analysis using Feedback Loops and System Dynamics. Use when designing architectures, scaling systems, or analyzing side effects.
GitHub
chestertons-fence
A safety protocol for refactoring. Do not remove a fence until you know why it was put up. Use when deleting, simplifying, or "fixing" code you do not fully understand.
GitHub
create-new-skill
Specialized skill for creating new Antigravity agent skills. Follows a Research -> Create -> Deploy workflow where the Agent directly creates the necessary files.
GitHub
pareto-principle
Strategic Prioritization using the 80/20 Rule. Optimization of Scope. Use when planning tasks, managing feature creep, or maximizing ROI.
GitHub
inversion-thinking
Proactive failure analysis using the Saboteur Method. Use when designing critical systems, security features, or debugging root causes.
GitHub
first-principles-thinking
A mental model for breaking down basic truths to generate original solutions. Use for innovation, novel problems, or when stuck in conventional thinking.
GitHub
decision-matrix
Objective trade-off analysis using weighted criteria. Eliminates popularity bias by requiring user-defined priorities. Use when choosing between technologies, architectures, or vendors.
GitHub
map-vs-territory
Empiricism and Reality Checking. Prioritizing runtime truth over documentation. Use when debugging discrepancies, validating APIs, or when code comments might be outdated.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.